EP4260281A1 - System und verfahren zur erzeugung und anzeige von konturen - Google Patents

System und verfahren zur erzeugung und anzeige von konturen

Info

Publication number
EP4260281A1
EP4260281A1 EP21836281.2A EP21836281A EP4260281A1 EP 4260281 A1 EP4260281 A1 EP 4260281A1 EP 21836281 A EP21836281 A EP 21836281A EP 4260281 A1 EP4260281 A1 EP 4260281A1
Authority
EP
European Patent Office
Prior art keywords
slice
contour
threshold
region
calculating
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP21836281.2A
Other languages
English (en)
French (fr)
Inventor
Tuan T. TRAN
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Raytheon Co
Original Assignee
Raytheon Co
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Raytheon Co filed Critical Raytheon Co
Publication of EP4260281A1 publication Critical patent/EP4260281A1/de
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/12—Edge-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/13—Edge detection
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/46—Arrangements for interfacing with the operator or the patient
    • A61B6/461—Displaying means of special interest
    • A61B6/463—Displaying means of special interest characterised by displaying multiple images or images and diagnostic data on one display
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/46—Arrangements for interfacing with the operator or the patient
    • A61B6/467—Arrangements for interfacing with the operator or the patient characterised by special input means
    • A61B6/469—Arrangements for interfacing with the operator or the patient characterised by special input means for selecting a region of interest [ROI]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
    • A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
    • A61B6/5217—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data extracting a diagnostic or physiological parameter from medical diagnostic data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/20—Drawing from basic elements, e.g. lines or circles
    • G06T11/203—Drawing of straight lines or curves
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/136—Segmentation; Edge detection involving thresholding
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves  involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03—Computed tomography [CT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10081—Computed x-ray tomography [CT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20092—Interactive image processing based on input by user
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20092—Interactive image processing based on input by user
    • G06T2207/20101—Interactive definition of point of interest, landmark or seed
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30096—Tumor; Lesion

Definitions

  • One or more aspects of embodiments according to the present disclosure relate to medical imaging, and more particularly to a system and method for drawing and displaying contours around one or more lesions in a medical imaging scan.
  • a method for analyzing scan data including: calculating a first threshold, based on a first target point in a first slice; and generating a first contour, the first contour being a boundary of a first region, the first region being a region within which: the elements of the first slice are greater than the first threshold, or the elements of the first slice are less than the first threshold.
  • the method further includes determining that the outward slope is less than zero, wherein the first region is a region within which the elements of the first slice are greater than the first threshold.
  • the calculating of the outward slope includes; calculating a first statistic, of a first portion of the first slice, calculating a second statistic, of a second portion of the first slice, and calculating the outward slope based on the first statistic and the second statistic, wherein: the second portion of the first slice has more elements than the first portion of the first slice, and the second portion of the first slice includes the first portion of the first slice.
  • the method further includes generating a second contour in a second slice, based on a second target point in the second slice, wherein: the first slice is a first slice of a scan volume; and the second slice is a second slice of the scan volume, the second slice being adjacent to the first slice.
  • the method further includes calculating the second target point based on the first contour.
  • the method further includes calculating the first threshold as an average over a first threshold-finding area of the first slice, the first threshold-finding area including the first target point.
  • the calculating of the outward slope includes; calculating a first statistic, of a first portion of the first slice, calculating a second statistic, of a second portion of the first slice, and calculating the outward slope based on the first statistic and the second statistic, wherein: the second portion of the first slice has more elements than the first portion of the first slice, and the second portion of the first slice includes the first portion of the first slice.
  • FIG. 3A is a view of an axial slice of an imaging scan, according to an embodiment of the present disclosure.
  • processing circuit 115 the display 120, and the input devices 125 may be part of a unitary system or may be a distributed system with the processing circuit 115, for example, being separate and communicatively coupled to the display 120 and input devices 125.
  • servers store the images and clients request and receive the images from the servers, with image processing performed on the server or on the client, or both.
  • a plurality of scans may be performed, and analyzed together. For example, a first scan of an object (e.g., a patient) may be performed before the contrast agent is injected, and several subsequent scans of the object may be performed at various times (e.g., at regular intervals) after injection of the contrast agent, as the concentration of contrast agent changes.
  • the rate at which the concentration of contrast agent increases initially, the peak concentration reached, and the rate at which the concentration of contrast agent subsequently decreases all may depend on the type of tissue into which the contrast agent is injected or which is of interest.
  • a “slice” is a two-dimensional scan data array formed along a surface within a three-dimensional scan data array.
  • three axes may be defined, an “axial” axis (e.g., parallel to a longitudinal direction of the patient), a “coronal” axis (e.g., an axis parallel to the front-rear direction in the patient) and a “sagittal” axis (e.g., an axis parallel to a left-right direction in the patient).
  • Planes, and slices may then be defined, with corresponding names, perpendicular to the respective axes.
  • an axial slice may be a two-dimensional subarray perpendicular to the axial axis, e.g., consisting of all of the elements of the three-dimensional scan data array at a certain position along the axial axis.
  • the elements of a slice may also be referred to as “pixels”.
  • the terms “axial”, “sagittal” and “coronal” are not limited, as used herein, to being parallel to the longitudinal direction of the patient, the left-right direction in the patient, and the front-rear direction in the patient respectively; instead these terms may refer to any substantially orthogonal directions (e.g., three directions, any pair of which is within 15 degrees of being perpendicular).
  • a plurality of maximum values may then be calculated, each of the maximum values being the maximum value within a respective slice of the set of consecutive axial slices.
  • the median of these maximum values may then be used to set a threshold (e.g., the threshold may be set to be equal to a constant factor times the median).
  • a first rectangle may then be defined, based on the threshold.
  • the first rectangle may have a left edge at the first peak, in order, of two or more horizontal peaks exceeding the threshold in the central row.
  • first ... in order refers to the first element in an ordered set of elements
  • last ... in order refers to the last element in an ordered set of elements.
  • the first element of an array of N elements may be referred to as the first element, in order, of the array
  • the N th element may be referred to as the last element, in order, of the array.
  • a “peak” is a local maximum, i.e. , an element having a smaller neighbor on each side.
  • a “horizontal peak” is a local maximum in a row, and a “vertical peak” is a local maximum in a column.
  • the first rectangle may further have a right edge at the last peak, in order, of the two or more horizontal peaks exceeding the threshold in the central role. It may also have a top edge at a first peak, in order, of two or more vertical peaks exceeding the threshold in the central column, and a bottom edge at the last peak, in order, of the two or more vertical peaks.
  • the first rectangle may then be used to adjust the threshold, as follows. First, a second plurality of maximum values may be calculated over the set of slices, each maximum value being the maximum value within the first rectangle in the respective slice, of the set of slices.
  • a rectangle, to be used as a mask may then be defined, based on a preset threshold.
  • the rectangle may have a left edge, at a first value, in order, within the horizontal moving sum, exceeding the threshold; a right edge, at the last value, in order, within the horizontal moving sum, exceeding the threshold; a top edge, at a first value, in order, within the vertical moving sum, exceeding the threshold; and a bottom edge, at the last value, in order, within the vertical moving sum, exceeding the third threshold.
  • the rectangle may then (as mentioned above) be used as a mask, and the torso contour may be drawn entirely within the second rectangle, thereby avoiding inclusion of artifacts.
  • a torso contour may be helpful for determining the size of the patient. This size may be used to apply suitable scaling, in methods, discussed below, for determining the contour of a lesion.
  • a “contour” refers to a candidate contour corresponding to the boundary, in a slice, of a lesion or suspected lesion.
  • Contours may be generated around areas suspected of containing lesions around a target point, as follows.
  • the target point may be a pixel (selected by the user, as a point within a suspected lesion) in a reference slice (which may also be selected by the user, e.g., by stepping through the slices as they are each displayed in sequence).
  • a suspected lesion may include tissue that is of higher density than the surrounding tissue, or it may include tissue that is of lower density than surrounding tissue. Contours around both types of lesion may be drawn, by first calculating an outward slope.
  • an outward slope is a measure that returns a positive value at a local minimum and a negative value at a local maximum. Such a slope may be calculated, at the target point, as follows. First, an average over a first area containing the target point may be calculated. Then, the average over a second area, larger than the first area, and including the first area (and including the target point), may be calculated.
  • the contour of the lesion in the reference slice may be calculated as the boundary of a region, within the reference slice, consisting of pixels that either exceed a first threshold, or are less than the first threshold, depending on whether the previously calculated outward slope is positive or negative. For example, if the previously calculated outward slope is greater than zero, then a region of pixels less than the first threshold may be used; if the previously calculated outward slope is less than zero, then a region of pixels greater than the first threshold may be used. In this manner, the contour-generating method is capable of producing a meaningful contour regardless of whether the lesion consists of tissue having higher density, or lower density, than the surrounding tissue.
  • Such a view may show a coronal slice passing through the target point of the reference slice, and, overlaid on the image of the coronal slice, contours of the same two lesions as those of FIG. 3A, with a first coronal contour being on the surface of the volume of the first lesion, and a second coronal contour being on the surface of the volume of the second lesion.

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Optics & Photonics (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Veterinary Medicine (AREA)
  • Pathology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Human Computer Interaction (AREA)
  • Physiology (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Image Analysis (AREA)
EP21836281.2A 2020-12-09 2021-11-30 System und verfahren zur erzeugung und anzeige von konturen Pending EP4260281A1 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US17/116,878 US11893745B2 (en) 2020-12-09 2020-12-09 System and method for generating and displaying contours
PCT/US2021/061218 WO2022125333A1 (en) 2020-12-09 2021-11-30 System and method for generating and displaying contours

Publications (1)

Publication Number Publication Date
EP4260281A1 true EP4260281A1 (de) 2023-10-18

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CN116542115B (zh) * 2023-07-06 2023-10-20 湖南安泰康成生物科技有限公司 生物体目标区域电场强度模的确定方法、装置及电子设备

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US11893745B2 (en) 2024-02-06
WO2022125333A1 (en) 2022-06-16

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